M219 - Principles and Applications of Magnetic Resonance Imaging

 

COURSE DESCRIPTION:

The learning objectives of this course are to introduce the students:

  • Description of hardware for modern MRI scanners, including main static field, RF coils, and gradient fields.
  • Fundamental principles of magnetic resonance imaging (MRI), including image resolution, signal-to-noise ratio, and contrast as dictated by physics, pulse sequences, and instrumentation.
  • Demonstration of basic applications of MRI, including imaging methods such as 2D FT, gradient echo, and spin echo imaging methods.
  • Fundamental tradeoffs of tailoring hardware and pulse sequences to specific applications. 

 

*Winter 2024 Schedule*

*Winter 2025 Schedule*

 

COURSE INSTRUCTOR

  • Kyung Sung, Ph.D.

          10945 Le Conte Ave (Ueberroth), 1417B

          Los Angeles, CA 90024

OFFICE HOURS

  • Instructor: Friday 10-12pm
  • TA: Raymi Ramirez

LECTURES

  • Mon/Wed 2:00pm - 3:50pm

          BH-173, CHS, Bauer Auditorium

COURSE TOPICS

  • MRI systems: B0
  • MRI systems: B1 / Signal Detection
  • MRI systems: Spatial Localization
  • Fast Imaging and Reconstruction
  • Basics of MR Spectroscopy
  • Basic Pulse Sequences

Textbook

  • D. Nishimura, Principles of Magnetic Resonance Imaging (hardcover | paperback from lulu.com)
  • Z. Liang and PC. Lauterbur, Principles of Magnetic Resonance Imaging: A Signal Processing Perspective, ISBN: 978-0-780-34723-6 (link)
  • (Optional References) Bernstein, King and Zhou, Handbook of MRI Pulse Sequences Elsevier/Wiley, 2004
  • (Optional References) Haacke, Brown, Thompson, and Venkatesan, Magnetic Resonance Imaging: Physical Principles and Sequence Design, John Wiley & Sons New York, NY 1999. ISBN: 0-471-35128-8.

GRADING STRUCTURE

  • Participation (10%)
  • Three homework assignments (60%)
  • Final Exam (30%)

PREREQUISITES

  • Vectors and Vector Operations
  • Basic Matrix Algebra
  • MATLAB